Backend Software Engineer - B2B Connectors

OpenAI • San Francisco, CA

23h

About The Position

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives real benefits across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.
Connectors are the bridge between OpenAI products (ChatGPT Enterprise, Frontier, and the API) and the systems where work actually happens—documents, tickets, messages, CRM records, knowledge bases, and more. The Connectors Platform team builds the infrastructure and control plane that makes these integrations reliable, secure, scalable, and enterprise-ready across a wide range of partners and customer environments.
We’re looking for an infrastructure-focused engineer to build and operate the systems that make Connectors dependable at global scale. In this role, you’ll design the control plane, reliability foundations, and operational tooling that power connector execution—auth flows, sync and indexing pipelines, rate limiting, isolation, observability, incident response, and safe rollouts. You’ll work closely with product engineering, partner teams, and security to ship enterprise-grade connectivity while meeting high bars for privacy, compliance, and uptime.

Requirements

• 5+ years of professional engineering experience (excluding internships) in infra / SRE / platform roles at tech and product-driven companies.
• Strong distributed systems fundamentals and production instincts (availability, latency, correctness, resilience).
• Experience building and operating services with meaningful uptime and scale requirements (multi-region is a plus).
• Proficient in one or more backend languages (e.g. Python, Rust) and comfortable working close to systems concerns (networking, storage, queueing).
• Deep familiarity with observability (metrics, logs, tracing), incident management, and reliability engineering practices.
• Comfortable navigating ambiguous problem spaces and pushing pragmatic solutions into production.

Nice To Haves

• Interest in AI/ML is a plus, but not required.

Responsibilities

• Design and operate the infrastructure that powers connector sync, indexing, and retrieval at scale (job orchestration, queues, storage, caching, backpressure).
• Build the “control plane” primitives for connectors: rollout controls, configuration management, permissions, policy enforcement, and kill switches.
• Own reliability and operational excellence: SLOs, monitoring/alerting, incident response, postmortems, on-call health, and capacity planning.
• Create guardrails for safe multi-tenant execution: isolation boundaries, secrets handling, rate limits, abuse prevention, and blast-radius reduction.
• Partner with security and compliance teams to ensure enterprise requirements are met (audibility, least privilege, data retention, and secure-by-default architecture).
• Improve developer velocity via internal tooling: local dev workflows, canary environments, load testing, and observability dashboards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed